DAI based wireless sensor network for multimedia applications

Mukherjee, Amrit; Goswami, Pratik; Yang, Lixia

doi:10.1007/s11042-020-08909-3

Cited by 5 publications

(2 citation statements)

References 33 publications

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“…The method realizes node prediction by considering the number of observations of node power consumption when executing a specific application and finally effectively saves the response time of routing. Amrit Mukherjee [30] et al established a method for high-speed communication of large capacity data in wireless multimedia sensor networks. The main idea is to distribute power through distributed artificial intelligence and analyze the real-time spectrum sensing output system.…”

Section: Related Workmentioning

confidence: 99%

Effective Data Optimization and Evaluation Based on Social Communication with AI-Assisted in Opportunistic Social Networks

Gou

Long

et al. 2022

Wireless Communications and Mobile Computing

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Billions of people around the world send and receive data over online networks daily. Sufficient and redundant data are transmitted over social platforms with AI-assisted in 5G networks. In opportunistic social networks, the main challenge faced by traditional methods is that numerous user nodes participate in data transmission, causing a lot of message copy redundancy and node cache consumption. As a result, the transmission delay of the algorithm is high, the node energy consumption is too large, and even information is lost. To solve these problems, this study establishes an artificial intelligence-based optimization multiple evaluation method. The main purpose of this method is to avoid information loss caused by data loss when reducing data noise, reasonably select communication nodes in opportunistic social network scenarios, optimize data transmission performance, and avoid network congestion. Moreover, our method can effectively identify and exclude potential malicious nodes, reducing the situation that packets are intercepted and discarded. The experiment confirms that the optimized transmission evaluation scheme can effectively reduce routing overheads and energy consumption of a user node, improve the delivery ratio of node data transmission, and ensure the reliability and security of data transmission.

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Section: Related Workmentioning

confidence: 99%

Effective Data Optimization and Evaluation Based on Social Communication with AI-Assisted in Opportunistic Social Networks

Gou

Long

et al. 2022

Wireless Communications and Mobile Computing

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“…Up to now, a number of powerful and intelligent technologies have been applied in WSNs to solve various problems effectively, for instance, multi-agent based distributed artificial intelligence for power allocation [15], conventional neural networks for secure routing [16], the firefly algorithm for dynamic cluster formation [17], and so on. Beyond that, neural networks [18]- [21] are also well extended and applied to WSNs.…”

Section: Related Workmentioning

confidence: 99%

Modified Zeroing Neurodynamics Models for Range-Based WSN Localization From AOA and TDOA Measurements

Wang

Liu

et al. 2022

IEEE Sensors J.

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With the rise of the internet of things, wireless sensor network (WSN) technology has gained unprecedented development and has attracted increasing attention from researchers. Due to the inherent characteristics of WSN, such as interaction with the environment, WSN localization becomes an essential and attractive topic in academia and industry. In this paper, the range-based localization problem in a mobile WSN application scenario is considered to be time-varying and modeled as a dynamic matrix equation by introducing the time parameter. Two modified zeroing neurodynamics (ZND) models are proposed and investigated to deal with range-based WSN localization problems from angle of arrival (AOA) measurement and time difference of arrival (TDOA) measurement. In addition, the convergence of the proposed models is theoretically analyzed. Furthermore, computer simulations on WSN localization are carried out to prove the effectiveness of the proposed models in terms of accuracy and robustness to the dynamic environment. Additionally, the application to underwater sensor node localization of underwater acoustic network (UAN) testbed is provided to illustrate the feasibilities of the proposed models for solving UAN localization problem.

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A Systematic Review for Medical Data Fusion Over Wireless Multimedia Sensor Networks

Anita,

Kumaran

2023

Artificial Intelligence for Sustainable Applications

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DAI based wireless sensor network for multimedia applications

Cited by 5 publications

References 33 publications

Effective Data Optimization and Evaluation Based on Social Communication with AI-Assisted in Opportunistic Social Networks

Effective Data Optimization and Evaluation Based on Social Communication with AI-Assisted in Opportunistic Social Networks

Modified Zeroing Neurodynamics Models for Range-Based WSN Localization From AOA and TDOA Measurements

A Systematic Review for Medical Data Fusion Over Wireless Multimedia Sensor Networks

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